name: fpt
channels:
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - asttokens=3.0.0=pyhd8ed1ab_1
  - blas=1.0=mkl
  - bzip2=1.0.8=h5eee18b_6
  - ca-certificates=2025.10.5=hbd8a1cb_0
  - comm=0.2.3=pyhe01879c_0
  - debugpy=1.8.16=py310hbdd6827_0
  - decorator=5.2.1=pyhd8ed1ab_0
  - exceptiongroup=1.3.0=pyhd8ed1ab_0
  - executing=2.2.1=pyhd8ed1ab_0
  - importlib-metadata=8.7.0=pyhe01879c_1
  - intel-openmp=2023.1.0=hdb19cb5_46306
  - ipykernel=7.1.0=pyha191276_0
  - ipython=8.37.0=pyh8f84b5b_0
  - jedi=0.19.2=pyhd8ed1ab_1
  - jupyter_client=8.6.3=pyhd8ed1ab_1
  - jupyter_core=5.9.1=pyhc90fa1f_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libsodium=1.0.18=h36c2ea0_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - libuuid=1.41.5=h5eee18b_0
  - matplotlib-inline=0.2.1=pyhd8ed1ab_0
  - mkl=2023.1.0=h213fc3f_46344
  - mkl-service=2.4.0=py310h5eee18b_1
  - mkl_fft=1.3.10=py310h5eee18b_0
  - mkl_random=1.2.7=py310h1128e8f_0
  - ncurses=6.4=h6a678d5_0
  - nest-asyncio=1.6.0=pyhd8ed1ab_1
  - openssl=3.0.18=hd6dcaed_0
  - parso=0.8.5=pyhcf101f3_0
  - pexpect=4.9.0=pyhd8ed1ab_1
  - pickleshare=0.7.5=pyhd8ed1ab_1004
  - pip=24.2=py310h06a4308_0
  - platformdirs=4.5.0=pyhcf101f3_0
  - prompt-toolkit=3.0.52=pyha770c72_0
  - psutil=7.0.0=py310hee96239_1
  - ptyprocess=0.7.0=pyhd8ed1ab_1
  - pure_eval=0.2.3=pyhd8ed1ab_1
  - pygments=2.19.2=pyhd8ed1ab_0
  - python=3.10.15=he870216_1
  - python-dateutil=2.9.0.post0=pyhe01879c_2
  - pyzmq=27.1.0=py310hcf8288c_0
  - readline=8.2=h5eee18b_0
  - setuptools=75.1.0=py310h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - stack_data=0.6.3=pyhd8ed1ab_1
  - tbb=2021.8.0=hdb19cb5_0
  - tk=8.6.14=h39e8969_0
  - tornado=6.5.1=py310h5eee18b_0
  - traitlets=5.14.3=pyhd8ed1ab_1
  - typing_extensions=4.15.0=pyhcf101f3_0
  - wcwidth=0.2.14=pyhd8ed1ab_0
  - wheel=0.44.0=py310h06a4308_0
  - xz=5.4.6=h5eee18b_1
  - zeromq=4.3.5=h6a678d5_0
  - zipp=3.23.0=pyhd8ed1ab_0
  - zlib=1.2.13=h5eee18b_1
  - pip:
    - absl-py==2.3.1
    - astropy==6.1.4
    - astropy-iers-data==0.2024.10.21.0.33.21
    - astunparse==1.6.3
    - certifi==2024.8.30
    - charset-normalizer==3.4.0
    - cmake==3.30.5
    - contourpy==1.3.0
    - cupy-cuda11x==13.3.0
    - cycler==0.12.1
    - dm-tree==0.1.8
    - fastrlock==0.8.2
    - filelock==3.16.1
    - fonttools==4.54.1
    - fsspec==2024.10.0
    - gast==0.6.0
    - grpcio==1.76.0
    - idna==3.10
    - imageio==2.36.0
    - jinja2==3.1.4
    - joblib==1.5.2
    - kiwisolver==1.4.7
    - lazy-loader==0.4
    - lit==18.1.8
    - markdown==3.9
    - markupsafe==3.0.2
    - matplotlib==3.9.2
    - monai==1.5.1
    - mpmath==1.3.0
    - networkx==3.4.1
    - numpy==2.1.2
    - nvidia-cublas-cu12==12.4.5.8
    - nvidia-cuda-cupti-cu12==12.4.127
    - nvidia-cuda-nvrtc-cu12==12.4.127
    - nvidia-cuda-runtime-cu12==12.4.127
    - nvidia-cudnn-cu12==9.1.0.70
    - nvidia-cufft-cu12==11.2.1.3
    - nvidia-curand-cu12==10.3.5.147
    - nvidia-cusolver-cu12==11.6.1.9
    - nvidia-cusparse-cu12==12.3.1.170
    - nvidia-dali-cuda110==1.42.0
    - nvidia-nccl-cu12==2.21.5
    - nvidia-nvimgcodec-cu11==0.3.0.5
    - nvidia-nvjitlink-cu12==12.4.127
    - nvidia-nvtx-cu12==12.4.127
    - opencv-python==4.10.0.84
    - packaging==24.1
    - pandas==2.2.3
    - pillow==11.0.0
    - protobuf==6.33.0
    - pyerfa==2.0.1.4
    - pyparsing==3.2.0
    - python-graphviz==0.21
    - pytz==2025.1
    - pywavelets==1.8.0
    - pyyaml==6.0.2
    - requests==2.32.3
    - scikit-image==0.24.0
    - scikit-learn==1.7.2
    - scipy==1.14.1
    - six==1.16.0
    - sympy==1.13.1
    - tensorboard==2.20.0
    - tensorboard-data-server==0.7.2
    - threadpoolctl==3.6.0
    - tifffile==2024.9.20
    - torch==2.5.1
    - torchaudio==2.0.2+cu118
    - torchsummary==1.5.1
    - torchvision==0.20.1
    - torchviz==0.0.3
    - tqdm==4.67.1
    - triton==3.1.0
    - typing-extensions==4.12.2
    - tzdata==2025.2
    - urllib3==2.2.3
    - werkzeug==3.1.3
prefix: /root/miniconda3/envs/fpt